Yaoliang Yu — Publications by Year
generated by
2007
(1)
A Novel Facial Feature Point Localization Method on 3D Faces.
Guan, P.; Yu, Y.; and Zhang, L.
In IEEE Conference on Image Processing (ICIP), 2007.
paper
link
bibtex
@inproceedings{GuanYZ07,
title = {A Novel Facial Feature Point Localization Method on 3D Faces},
author = {P. Guan and Y. Yu and L. Zhang},
booktitle = {{IEEE} Conference on Image Processing ({ICIP})},
year = {2007},
url_Paper = {http://www.cs.cmu.edu/~yaoliang/mypapers/icip07.pdf},
keyword = {2007},
}
%\item \textit{A Conditional Value-at-Risk Approach for Uncertain Markov Decision Processes}\\[0.5ex]
%\small{\textbf{Yaoliang Yu}, Csaba Szepesv\'ari, Yuxi Li, and Dale Schuurmans}\\[0.5ex]
%Multidisciplinary Symposium on Reinforcement Learning, 2009
%
%\item \textit{Online TD(1) Meets Offline Monte Carlo}\\[0.5ex]
%\small{\textbf{Yaoliang Yu}, Yongjian Zhang, and Csaba Szepesv\'ari}\\[0.5ex]
%Multidisciplinary Symposium on Reinforcement Learning, 2009
2009
(1)
A General Projection Property for Distribution Families.
Yu, Y.; Li, Y.; Schuurmans, D.; and Szepesvári, C.
In Advances in Neural Information Processing Systems (NIPS), 2009.
paper
link
bibtex
1 download
@inproceedings{YuLSS09,
title = {A General Projection Property for Distribution Families},
author = {Yao-Liang Yu and Y. Li and D. Schuurmans and C. Szepesv\'ari},
booktitle = {Advances in Neural Information Processing Systems ({NIPS})},
year = {2009},
url_Paper = {http://www.cs.cmu.edu/~yaoliang/mypapers/nips09.pdf},
keyword = {2009},
}
2010
(1)
Relaxed Clipping: A Global Training Method for Robust Regression and Classification.
Yu, Y.; Yang, M.; Xu, L.; White, M.; and Schuurmans, D.
In Advances in Neural Information Processing Systems (NIPS), 2010.
paper
link
bibtex
@inproceedings{YuYXWS10,
title = {Relaxed Clipping: A Global Training Method for Robust Regression and Classification},
author = {Y. Yu and M. Yang and L. Xu and M. White and D. Schuurmans},
booktitle = {Advances in Neural Information Processing Systems ({NIPS})},
year = {2010},
url_Paper = {http://www.cs.cmu.edu/~yaoliang/mypapers/nips10.pdf},
keyword = {2010},
}
2011
(3)
Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions.
Zhang, X.; Yu, Y.; White, M.; Huang, R.; and Schuurmans, D.
In Association for the Advancement of Artificial Intelligence (AAAI), 2011.
paper
link
bibtex
@inproceedings{ZhangYWHS11,
title = {Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions},
author = {X. Zhang and Y. Yu and M. White and R. Huang and D. Schuurmans},
booktitle = {Association for the Advancement of Artificial Intelligence {(AAAI)}},
year = {2011},
url_Paper = {http://www.cs.cmu.edu/~yaoliang/mypapers/aaai11.pdf},
keyword = {2011},
}
Distance Metric Learning by Minimal Distance Maximization.
Yu, Y.; Jiang, J.; and Zhang, L.
Pattern Recognition, 44: 639–649. 2011.
paper
link
bibtex
@article{YuJZ11,
title = {Distance Metric Learning by Minimal Distance Maximization},
author = {Yao-Liang Yu and J. Jiang and L. Zhang},
journal = {Pattern Recognition},
volume = {44},
pages = {639--649},
year = {2011},
url_Paper = {http://www.cs.cmu.edu/~yaoliang/mypapers/pr11.pdf},
keyword = {2011},
}
2012
(5)
Convex Multi-view Subspace Learning.
White, M.; Yu, Y.; Zhang, X.; and Schuurmans, D.
In Advances in Neural Information Processing Systems (NIPS), 2012.
paper
link
bibtex
@inproceedings{WhiteYZS12,
title = {Convex Multi-view Subspace Learning},
author = {M. White and Y. Yu and X. Zhang and D. Schuurmans},
booktitle = {Advances in Neural Information Processing Systems ({NIPS})},
year = {2012},
url_Paper = {http://www.cs.cmu.edu/~yaoliang/mypapers/nips12b.pdf},
keyword = {2012},
}
Regularizers versus Losses for Nonlinear Dimensionality Reduction.
Yu, Y.; Neufeld, J.; Kiros, R.; Zhang, X.; and Schuurmans, D.
In International Conference on Machine Learning (ICML), 2012.
paper
link
bibtex
@inproceedings{YuNKZS12,
title = {Regularizers versus Losses for Nonlinear Dimensionality Reduction},
author = {Y. Yu and J. Neufeld and R. Kiros and X. Zhang and D. Schuurmans},
booktitle = {International Conference on Machine Learning ({ICML})},
year = {2012},
url_Paper = {http://www.cs.cmu.edu/~yaoliang/mypapers/icml12b.pdf},
keyword = {2012},
}
Analysis of Kernel Mean Matching under Covariate Shift.
Yu, Y.; and Szepesvári, C.
In International Conference on Machine Learning (ICML), 2012.
paper
link
bibtex
1 download
@inproceedings{YuSzepesvari12,
title = {Analysis of Kernel Mean Matching under Covariate Shift},
author = {Yao-Liang Yu and C. Szepesv\'ari},
booktitle = {International Conference on Machine Learning ({ICML})},
year = {2012},
url_Paper = {http://www.cs.cmu.edu/~yaoliang/mypapers/icml12a.pdf},
keyword = {2012},
}
2013
(4)
Better Approximation and Faster Algorithm Using the Proximal Average.
Yu, Y.
In Advances in Neural Information Processing Systems (NIPS), 2013.
paper
link
bibtex
@inproceedings{Yu13b,
title = {Better Approximation and Faster Algorithm Using the Proximal Average},
author = {Yao-Liang Yu},
booktitle = {Advances in Neural Information Processing Systems ({NIPS})},
year = {2013},
url_Paper = {http://www.cs.cmu.edu/~yaoliang/mypapers/nips13b.pdf},
keyword = {2013},
}
On Decomposing the Proximal Map.
Yu, Y.
In Advances in Neural Information Processing Systems (NIPS), 2013.
paper
link
bibtex
@inproceedings{Yu13a,
title = {On Decomposing the Proximal Map},
author = {Yao-Liang Yu},
booktitle = {Advances in Neural Information Processing Systems ({NIPS})},
year = {2013},
url_Paper = {http://www.cs.cmu.edu/~yaoliang/mypapers/nips13a.pdf},
keyword = {2013},
}
Polar Operators for Structured Sparse Estimation.
Zhang, X.; Yu, Y.; and Schuurmans, D.
In Advances in Neural Information Processing Systems (NIPS), 2013.
paper
link
bibtex
@inproceedings{ZhangYS13,
title = {Polar Operators for Structured Sparse Estimation},
author = {X. Zhang and Y. Yu and D. Schuurmans},
booktitle = {Advances in Neural Information Processing Systems ({NIPS})},
year = {2013},
url_Paper = {http://www.cs.cmu.edu/~yaoliang/mypapers/nips13c.pdf},
keyword = {2013},
}
Characterizing the Representer Theorem.
Yu, Y.; Cheng, H.; Schuurmans, D.; and Szepesvári, C.
In International Conference on Machine Learning (ICML), 2013.
paper
link
bibtex
@inproceedings{YuCSS13,
title = {Characterizing the Representer Theorem},
author = {Yao-Liang Yu and H. Cheng and D. Schuurmans and C. Szepesv\'ari},
booktitle = {International Conference on Machine Learning ({ICML})},
year = {2013},
url_Paper = {http://www.cs.cmu.edu/~yaoliang/mypapers/icml13.pdf},
keyword = {2013},
}
2014
(1)
Efficient Structured Matrix Rank Minimization.
Yu, A.; Ma, W.; Yu, Y.; Carbonell, J.; and Sra, S.
In Advances in Neural Information Processing Systems (NIPS), 2014.
paper
link
bibtex
@inproceedings{YuMYCS14,
title = {Efficient Structured Matrix Rank Minimization},
author = {A. Yu and W. Ma and Y. Yu and J. Carbonell and S. Sra},
booktitle = {Advances in Neural Information Processing Systems {(NIPS)}},
year = {2014},
url_Paper = {http://www.cs.cmu.edu/~yaoliang/mypapers/nips14.pdf},
keyword = {2014},
}
2015
(6)
Searching Persuasively: Joint Event Detection and Evidence Recounting with Limited Supervision.
Chang, X.; Yu, Y.; Yang, Y.; and Hauptmann, A.
In ACM Conference on Multimedia (MM), 2015.
paper
link
bibtex
@inproceedings{ChangYYH15,
title = {Searching Persuasively: Joint Event Detection and Evidence Recounting with Limited Supervision},
author = {X. Chang and Yao-Liang Yu and Y. Yang and A. Hauptmann},
year = {2015},
booktitle = {{ACM} Conference on Multimedia ({MM})},
url_Paper = {http://www.cs.cmu.edu/~yaoliang/mypapers/mm15.pdf},
keyword = {2015},
}
Linear Time Samplers for Supervised Topic Models using Compositional Proposals.
Zheng, X.; Yu, Y.; and Xing, E.
In ACM Conference on Knowledge Discovery and Data Mining (KDD), 2015.
paper
link
bibtex
@inproceedings{ZhengYX15,
title = {Linear Time Samplers for Supervised Topic Models using Compositional Proposals},
author = {X. Zheng and Y. Yu and E. Xing},
year = {2015},
booktitle = {ACM Conference on Knowledge Discovery and Data Mining {(KDD)}},
url_Paper = {http://www.cs.cmu.edu/~yaoliang/mypapers/kdd15.pdf},
keyword = {2015},
}
Semantic Concept Discovery for Large-Scale Zero-Shot Event Detection.
Chang, X.; Yang, Y.; Hauptmann, A.; Xing, E.; and Yu, Y.
In International Joint Conference on Artificial Intelligence (IJCAI), 2015.
paper
link
bibtex
@inproceedings{ChangYHXY15,
title = {Semantic Concept Discovery for Large-Scale Zero-Shot Event Detection},
author = {X. Chang and Y. Yang and A. Hauptmann and E. Xing and Yao-Liang Yu},
year = {2015},
booktitle = {International Joint Conference on Artificial Intelligence {(IJCAI)}},
url_Paper = {http://www.cs.cmu.edu/~yaoliang/mypapers/ijcai15.pdf},
keyword = {2015},
}
Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM.
Chang, X.; Yang, Y.; Xing, E.; and Yu, Y.
In International Conference on Machine Learning (ICML), 2015.
paper
link
bibtex
@inproceedings{ChangYXY15,
title = {Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM},
author = {X. Chang and Y. Yang and E. Xing and Yao-Liang Yu},
year = {2015},
url_Paper = {http://www.cs.cmu.edu/~yaoliang/mypapers/icml15.pdf},
booktitle = {International Conference on Machine Learning {(ICML)}},
keyword = {2015},
}
Minimizing Nonconvex Non-Separable Functions.
Yu, Y.; Zheng, X.; Marchetti-Bowick, M.; and Xing, E.
In International Conference on Artificial Intelligence and Statistics (AISTATS), 2015.
paper
link
bibtex
@inproceedings{YuZMX15,
title = {Minimizing Nonconvex Non-Separable Functions},
author = {Yao-Liang Yu and X. Zheng and M. Marchetti-Bowick and E. Xing},
booktitle = {International Conference on Artificial Intelligence and Statistics {(AISTATS)}},
year = {2015},
url_Paper = {http://www.cs.cmu.edu/~yaoliang/mypapers/aistats15.pdf},
keyword = {2015},
}
2016
(4)
Not Equally Reliable: Semantic Event Search using Differentiated Concept Classifiers.
Chang, X.; Yu, Y.; Yang, Y.; and Xing, E.
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
link
bibtex
@inproceedings{ChangYYX16,
title = {Not Equally Reliable: Semantic Event Search using Differentiated Concept Classifiers},
author = {X. Chang and Yao-Liang Yu and Y. Yang and E. Xing},
booktitle = {{IEEE} Conference on Computer Vision and Pattern Recognition {(CVPR)}},
year = {2016},
keyword = {2016},
}
Scalable and Sound Low-Rank Tensor Learning.
Cheng, H.; Yu, Y.; Zhang, X.; Xing, E. P.; and Schuurmans, D.
In International Conference on Artificial Intelligence and Statistics (AISTATS), 2016.
link
bibtex
@inproceedings{ChengYZXS16,
title = {Scalable and Sound Low-Rank Tensor Learning},
author = {Hao Cheng and Yaoliang Yu and Xinhua Zhang and Eric P. Xing and Dale Schuurmans},
booktitle = {International Conference on Artificial Intelligence and Statistics {(AISTATS)}},
year = {2016},
keyword = {2016},
}
On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System.
Zhou, Y.; Yu, Y.; Dai, W.; Liang, Y.; and Xing, E.
In International Conference on Artificial Intelligence and Statistics (AISTATS), 2016.
link
bibtex
@inproceedings{ZhouYDLX16,
title = {On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System},
author = {Y. Zhou and Y. Yu and W. Dai and Y. Liang and E. Xing},
booktitle = {International Conference on Artificial Intelligence and Statistics {(AISTATS)}},
year = {2016},
keyword = {2016},
}
preprint
(3)
Additive Approximations in High Dimensional Nonparametric Regression via the SALSA.
Kandasamy, K.; and Yu, Y.
2015.
Submitted
link
bibtex
@unpublished{KandasamyYu15,
title = {Additive Approximations in High Dimensional Nonparametric Regression via the {SALSA}},
author = {K. Kandasamy and Y. Yu},
note = {Submitted},
year = {2015},
keyword = {preprint},
}
%@unpublished{Xieetal15,
% title = {Distributed Machine Learning via Sufficient %Factor Broadcasting},
% author = {P. Xie and J. Kim and Y. Zhou and Q. Ho and A. Kumar and Y. Yu and E. Xing},
% note = {Submitted},
% year = {2015},
% url_arXiv = {http://arxiv.org/abs/1409.5705},
% keyword = {preprint},
% }
Semantic Pooling for Untrimmed Video Analysis.
Chang, X.; Yu, Y.; Yang, Y.; and Xing, E.
Nov 2015.
Submitted
link
bibtex
@unpublished{ChangYYX15c,
title = {Semantic Pooling for Untrimmed Video Analysis},
author = {X. Chang and Yao-Liang Yu and Y. Yang and E. Xing},
note = {Submitted},
year = {2015},
month = {Nov},
addendum = {Preliminary version appeared in ICML, 2015},
keyword = {preprint},
}
Generalized Conditional Gradient for Sparse Estimation.
Yu, Y.; Zhang, X.; and Schuurmans, D.
2014.
Submitted
paper
link
bibtex
@unpublished{YuZS14,
title = {Generalized Conditional Gradient for Sparse Estimation},
author = {Y. Yu and X. Zhang and D. Schuurmans},
note = {Submitted},
year = {2014},
url_Paper = {http://www.cs.cmu.edu/~yaoliang/mypapers/gcg.pdf},
keyword = {preprint},
}
|